Master the Power of Data Analytics: The Four Approaches to Analyzing Data
KDnuggets
MARCH 8, 2023
Learn about descriptive analytics, data warehousing, machine learning, and big data. KDnuggets Originals Data Science
Descriptive Analytics Related Topics 
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Top 4 Business Analytics Techniques Companies Need to Adopt
TreehouseTechGroup
AUGUST 11, 2020
There are four important techniques in business analytics that correspond to the different stages of maturity in the analytics lifecycle. Most organizations start their analytics journey by asking ‘what has happened’.
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Top 4 Business Analytics Techniques Companies Need to Adopt
TreehouseTechGroup
AUGUST 11, 2020
There are four important techniques in business analytics that correspond to the different stages of maturity in the analytics lifecycle. Most organizations start their analytics journey by asking ‘what has happened’.
Prescriptive Analytics: An Introduction
DataRobot Blog
APRIL 11, 2019
Where descriptive analytics reveals what has happened in the past, prescriptive analytics delivers insight into optimizing future decisions. As data-driven organizations mature, they will begin to apply prescriptive analytics. Tableau Excel BI & Analytics Prescriptive Analytics Qlikby Jen Underwood. Read More.
Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough
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MONETIZING ANALYTICS FEATURES: Why Data Visualizations. application and maximize the value of embedded analytics. Data Visualizations Have Gone From Rare to Ubiquitous 1 If DataViz Is Old News, What’s the Future of Analytics? rethink how they ofer analytics in their products.
Why is AI the Future of Business Intelligence
DataFloq
JULY 21, 2019
Over the past few years, BI software has evolved into three essential areas, namely Descriptive analytics, Predictive Analytics, and Prescriptive analytics. Data is at the core of nearly every business that helps you understand and improve business processes. In this modern era ruled by data, AI is evolving into a significant driver that shapes the day-to-day business process and Business Intelligence decision making.
Seven Steps to Success for Predictive Analytics in Financial Services
Birst BI
OCTOBER 30, 2018
Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”
What is business analytics? Using data to improve business outcomes
CIO Business Intelligence
JULY 5, 2022
What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? Business analytics techniques.
What Is The Difference Between Business Intelligence And Analytics?
datapine
MARCH 25, 2022
1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.
What is data analytics? Analyzing and managing data for decisions
CIO Business Intelligence
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?
Improve Underwriting Using Data and Analytics
Cloudera
SEPTEMBER 22, 2022
To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Simply stated, this approach enables data to be collected from any location and reside in any location for analytics to then be performed.
AIOps reimagines hybrid multicloud platform operations
IBM Big Data Hub
JULY 27, 2022
Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools.
What is business intelligence? Transforming data into business insights
CIO Business Intelligence
JANUARY 20, 2023
BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business.
6 Case Studies on The Benefits of Business Intelligence And Analytics
datapine
JANUARY 31, 2022
Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Your Chance: Want to try a professional BI analytics software?
Python for Business: Optimize Pre-Processing Data for Decision-Making
Smart Data Collective
DECEMBER 19, 2021
Built-in Data Analytics Tools: Python has some built-in data analysis tools that make the job easier for you. Both the individuals and companies that are into cryptocurrency need essential analytics that would help them to take the right decision about the market.
Are You Getting The Most Out Of Your Marketing Data?
Smart Data Collective
MARCH 29, 2021
These are unprecedented times for the analytics industry. If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Analytics Data Management
Prescriptive Analytics – a Winning Bet for Casinos
BizAcuity
AUGUST 26, 2019
This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. By banking on prescriptive analytics, casinos can not only prepare and plan to take make the most of future opportunities but also avoid and tackle any impending risks and problems.
AI Analytics: Better Insights with Smart Algorithms
DataFloq
DECEMBER 20, 2022
Then keep reading to know more about AI analytics, how it can serve your business, and which challenges to expect during implementation. What is AI analytics, and how does it differ from the traditional approach? According to Gartner, there are four major approaches to data analytics.
Decide to Decide Digitally: New Forrester Research
Decision Management Solutions
AUGUST 18, 2020
Sometimes you need to do some basic analytics to find the right thresholds. Stop separating your operational systems from your analytic systems. Apply simple descriptive analytics to identify means, standard deviations and trends that you can encode in your rules.
5 Sources of Data for Customer Analytics and Their Benefits
Smart Data Collective
MARCH 11, 2022
There is no disputing that data analytics is a huge gamechanger for companies all over the world. Therefore, you need sophisticated customer analytics to analyze complex customer behavior. What Is Customer Service Analytics? Customer Service Analytics: Use Cases.
The Data Behind Tokyo 2020: The Evolution of the Olympic Games
Sisense
JULY 23, 2021
While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused
Data Visualization and Visual Analytics: Seeing the World of Data
Sisense
JUNE 30, 2020
Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions.
Using IBM Watson to Answer Two Important Questions about your Customers
Business Over Broadway
MARCH 13, 2019
IBM Watson Studio , an end-to-end analytics solution to help you gain insights from your data, was designed for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. Next, we can explore our data by calculating some descriptive statistics for our measures.
4 imperatives for making business intelligence work
O'Reilly on Data
OCTOBER 16, 2018
Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. The business intelligence (BI) and data science industries have spent the last couple decades making data access easier, analytic capability more comprehensive, and platforms more scalable. To achieve the results that leaders are looking for, organizations must create a coherent BI strategy that aligns data collection and analytics with the general business strategy.
Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics
BizAcuity
MARCH 31, 2022
Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.
Prescriptive Analytics – a Winning Bet for Casinos
BizAcuity
AUGUST 26, 2019
This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. By banking on prescriptive analytics, casinos can not only prepare and plan to take make the most of future opportunities but also avoid and tackle any impending risks and problems.
How Freudenberg Home and Cleaning Solutions Makes Better Decisions with Enterprise-Wide Planning
CIO Business Intelligence
OCTOBER 10, 2022
This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation.
Disrupt and Innovate in a Data-Driven World
Cloudera
MARCH 2, 2018
The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.
How to supercharge data exploration with Pandas Profiling
Domino Data Lab
JANUARY 21, 2021
Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. The variables lack descriptions. Summary: A Valuable Tool in your Analytics Quiver.
Top 5 Factors Behind Data Analytics Costs
DataFloq
JUNE 30, 2022
A custom integrated data analytics solution would cost at least $150,000-200,000 to build and implement. Most companies that opt for SaaS-based data analytics products end up paying $10,000-25,000 per year in vendor and maintenance fees. But how much does data analytics cost?
Five Steps for Building a Successful BI Strategy
Sisense
SEPTEMBER 12, 2019
And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Our go-to approach for analytics that feeds well into a BI strategy is the Evolution of Analytics chart (below). Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. .
Alation Connected Sheets Brings Trust to Spreadsheets
Alation
NOVEMBER 28, 2022
Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Source: IDC, Data and Analytics in a Digital-First World commissioned by Alteryx. Consider how many analytic spreadsheets exist in large enterprise organizations.
An Interview with a Data Scientist
Grooper
AUGUST 19, 2019
Once we have right data, we do some descriptive analytics which tells us column’s mean, median, mode, standard deviation, variance, bias, some skewness – how the data is spread. An interview with Pranshuk Kathed, machine and deep learning enthusiast. Data scientists are a precious resource, so I thought I'd ask some basic questions to try and shed a little light on the basics. I thought I'd bust some of the hype too, but - the hype is true. Questions?
Themes and Conferences per Pacoid, Episode 10
Domino Data Lab
JUNE 2, 2019
And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Daniel Kahneman @ #dominorev #rev2 #keynote #DataScience #data #AccuLogique #data4good #analytics #ThisIsNYC pic.twitter.com/hb7huNLgC4. Moving beyond introductions, i.e., the more descriptive and anecdotal aspects, Kahneman explored tools we can use to overcome the effects of cognitive bias.
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